Mohammad Azab

1.7k citations
47 papers · 1.0k · h-index 20

Impact in

Papers in

    • Epigenetics and DNA Methylation 15
    • Histone Deacetylase Inhibitors Research 7
    • RNA modifications and cancer 5
    • Acute Myeloid Leukemia Research 11

Mohammad Azab

45 papers receiving 1.0k citations

Peers

Mohammad Azab
Comparison fields: 5 of 107
  • Hematology 128
  • Cancer Research 132
  • Physiology 191
  • Molecular Biology 436
  • Oncology 129
Replace Raimond Wong with:
Raimond Wong Canada
Yang Xie United States
Chi‐Li Chung Taiwan
Jonathan M. Ducore United States
Yun‐Ling Zheng United States
Zubair A. Karim United States
Leon Bernal‐Mizrachi United States
Jon A. Van Loon United States
Alfredo Tartarone Italy
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Citations per field
00.5×2.8×
Raimond Wong · 1×
Citations per year

Countries citing papers authored by Mohammad Azab

Since Specialization
Citations

This map shows the geographic impact of Mohammad Azab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Azab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Azab more than expected).

Fields of papers citing papers by Mohammad Azab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Azab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Azab. The network helps show where Mohammad Azab may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohammad Azab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Azab Line = papers co-authored together Mohammad Azab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201993
2 201083
3 201481
4 202080
5 201069
6 201466
7 201666
8 201355
9 201252
10 201248
11 201846
12 201429
13 201826
14 201525
15 201225
16 201921
17 201420
18 201319
19 201619
20 201819

About Mohammad Azab

Mohammad Azab is a scholar working on Molecular Biology, Hematology, Cancer Research, Oncology and Physiology, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (15 papers), Acute Myeloid Leukemia Research (11 papers), Histone Deacetylase Inhibitors Research (7 papers), Smoking Behavior and Cessation (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), RNA modifications and cancer (5 papers), Ovarian cancer diagnosis and treatment (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Hematology (128 citations), Cancer Research (132 citations), Physiology (191 citations), Molecular Biology (436 citations) and Oncology (129 citations). Mohammad Azab has collaborated with scholars based in United States, Jordan and Italy. Frequent co-authors include Omar F. Khabour, Karem H. Alzoubi, Pietro Taverna, Thomas Eissenberg, May F. Sadiq, Gavin Choy, Aram Oganesian, Sanjeev Redkar, Brian A. Primack and Faris El‐Dahiyat. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Blood, Clinical Cancer Research and Nicotine & Tobacco Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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